Enhancing Robot Gearbox Selection with Data-Driven Virtual Commissioning

Muhammad Faisal Yaqoob, Research Associate/ R&D Project Manager at Fraunhofer IWU presents at the 2024 ATCx Digital Twin conference.

Virtual commissioning significantly reduces commissioning times by enabling the control systems to be tested against a digital twin even before the physical implementation has taken place. However, the integration of models for representing manufacturing processes in the digital twin increases complexity and calculation time, which challenges the runtime of time-critical control functions. Data-driven methods, such as machine learning and model order reduction, can improve virtual commissioning to cope with this complexity. Let's discover the possibilities for implementing such methods with an example of process-adapted optimization of gearboxes for robots.